Identifying longform articles
    1.
    发明授权

    公开(公告)号:US09773166B1

    公开(公告)日:2017-09-26

    申请号:US14931576

    申请日:2015-11-03

    Applicant: Google Inc.

    CPC classification number: G06F17/271 G06F17/30705 G06N99/005

    Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for classifying documents. One of the methods includes obtaining a collection of training documents, the training documents including positive documents identified as being longform documents and negative documents identified as not being longform documents; extracting one or more features from the training documents, wherein the features represent lexical or textual content of the training documents; and generating a longform document classifier trained using feature instances extracted from the training documents, wherein the generated longform document classifier is trained such that input documents are classified as being longform documents or classified as not being longform documents.

    Additive context model for entity resolution

    公开(公告)号:US09697475B1

    公开(公告)日:2017-07-04

    申请号:US14138606

    申请日:2013-12-23

    Applicant: GOOGLE INC.

    CPC classification number: G06N99/005 G06N7/005

    Abstract: Systems and methods are disclosed for using an additive context model for entity disambiguation. An example method may include receiving a span of text from a document and a phrase vector for the span. The phrase vector may have a quantity of features and represent a context for the span. The method also includes determining a quantity of candidate entities from a knowledge base that have been referred to by the span. For each of the quantity of candidate entities, the method may include determining a support score for the candidate entity for each feature in the phrase vector, combining the support scores additively, and computing a probability that the span resolves to the candidate entity given the context. The method may also include resolving the span to a candidate entity with a highest probability.

    IDENTIFYING TASKS IN MESSAGES
    3.
    发明申请
    IDENTIFYING TASKS IN MESSAGES 有权
    识别消息中的任务

    公开(公告)号:US20150205782A1

    公开(公告)日:2015-07-23

    申请号:US14161368

    申请日:2014-01-22

    Applicant: Google Inc.

    Abstract: Methods and apparatus are described herein for identifying tasks in messages. In various implementations, natural language processing may be performed on a received message to generate an annotated message. The annotated message may be analyzed pursuant to a grammar. A portion of the message may be classified as a user task entry based on the analysis of the annotated message.

    Abstract translation: 本文描述了用于识别消息中的任务的方法和装置。 在各种实施方式中,可以对所接收的消息执行自然语言处理以产生带注释的消息。 可以根据语法来分析注释的消息。 消息的一部分可以基于对注释消息的分析来分类为用户任务条目。

    Techniques for user customization in a photo management system
    4.
    发明授权
    Techniques for user customization in a photo management system 有权
    在照片管理系统中用户定制的技术

    公开(公告)号:US08913152B1

    公开(公告)日:2014-12-16

    申请号:US13628820

    申请日:2012-09-27

    Applicant: Google Inc.

    Abstract: A computer-implemented technique can receive a plurality of photos and automatically select a subset of the plurality of photos having a high degree of representativeness by jointly maximizing both photo quality and photo diversity to obtain a photo album. The technique can determine one or more clusters for the photo album using a hierarchical clustering algorithm, and store the photo album according to the one or more clusters. The technique can control the manner in which the photo album is displayed using the one or more clusters. The technique can adjust at least one of the one or more clusters and the automatic photo album generation based on user input. The user input can include at least one of adding, deleting, and moving a photo with respect to the one or more clusters. The technique can then re-cluster, automatically generate a new photo album, and/or adjust the presentation.

    Abstract translation: 计算机实现的技术可以接收多张照片,并通过联合最大化照片质量和照片分集来获得相册,自动选择具有高度代表性的多张照片的子集。 该技术可以使用分层聚类算法确定相册的一个或多个聚类,并根据一个或多个聚类存储相册。 该技术可以使用一个或多个聚类来控制相册的显示方式。 该技术可以基于用户输入来调整一个或多个聚类中的至少一个和自动相册的生成。 用户输入可以包括关于一个或多个聚类的添加,删除和移动照片中的至少一个。 该技术可以重新聚集,自动生成新的相册和/或调整演示文稿。

    Associating a segment of an electronic message with one or more segment addressees

    公开(公告)号:US10069784B2

    公开(公告)日:2018-09-04

    申请号:US15331456

    申请日:2016-10-21

    Applicant: Google Inc.

    Abstract: Methods and apparatus related to associating a segment of an electronic message with one or more segment addressees. One or more message addressees of an electronic message may be identified, the one or more message addressees identifying at least one recipient of the electronic message. A segment of the electronic message may be identified via one or more processors. One or more segment addressees may be determined from the at least one recipient, the one or more segment addressees identifying an addressee for the identified segment. One or more aspects of the segment may be associated with the one or more segment addressees. An indication pertaining to the one or more aspects of the segment may be provided to the one or more segment addressees.

    Systems and methods for providing suggested reminders

    公开(公告)号:US09990610B2

    公开(公告)日:2018-06-05

    申请号:US14473590

    申请日:2014-08-29

    Applicant: GOOGLE INC.

    CPC classification number: G06Q10/107 G06F17/241

    Abstract: A method for annotating a message executes at a computing device having one or more processors and memory. The memory stores one or more programs configured for execution by the one or more processors. A plurality of messages for a user is analyzed to determine whether a task reminder is derivable for any of the messages. In this way, task reminders are derived for at least a subset of the messages. A user interface for an electronic messaging application is provided. The interface includes a list of objects, one or more of which represents a collapsed state of a message in the message subset and comprises a summary, task reminder, and a dismissal affordance. Responsive dismissal affordance selection, the task reminder and the dismissal affordances are removed from the object.

    Associating a segment of an electronic message with one or more segment addressees
    8.
    发明授权
    Associating a segment of an electronic message with one or more segment addressees 有权
    将电子消息的一段与一个或多个段收件人关联

    公开(公告)号:US09497153B2

    公开(公告)日:2016-11-15

    申请号:US14168852

    申请日:2014-01-30

    Applicant: Google Inc.

    Abstract: Methods and apparatus related to associating a segment of an electronic message with one or more segment addressees. One or more message addressees of an electronic message may be identified, the one or more message addressees identifying at least one recipient of the electronic message. A segment of the electronic message may be identified via one or more processors. One or more segment addressees may be determined from the at least one recipient, the one or more segment addressees identifying an addressee for the identified segment. One or more aspects of the segment may be associated with the one or more segment addressees. An indication pertaining to the one or more aspects of the segment may be provided to the one or more segment addressees.

    Abstract translation: 将电子消息的段与一个或多个段接收者相关联的方法和装置。 可以识别电子消息的一个或多个消息收件人,所述一个或多个消息收件人识别电子消息的至少一个接收者。 可以经由一个或多个处理器来识别电子消息的段。 可以从至少一个接收者确定一个或多个段接收者,所述一个或多个段接收者标识所识别的段的收件人。 该段的一个或多个方面可以与一个或多个段接收者相关联。 可以向一个或多个段接收者提供关于该段的一个或多个方面的指示。

    Information Extraction from Question And Answer Websites
    9.
    发明申请
    Information Extraction from Question And Answer Websites 有权
    从问答网站提取信息

    公开(公告)号:US20160283491A1

    公开(公告)日:2016-09-29

    申请号:US14667792

    申请日:2015-03-25

    Applicant: Google Inc.

    CPC classification number: G06F17/3064 G06F17/2705 G06F17/2785

    Abstract: Methods, systems, and apparatus for obtaining a resource, identifying a first portion of text of the resource that is characterized as a question, and a second part of text of the resource that is characterized as an answer to the question, identifying an entity that is referenced by one or more terms of the text that is characterized as the question, a relationship type that is referenced by one or more other terms of the text that is characterized as the question, and an entity that is referenced by the text that is characterized as the answer to the question, and adjusting a score for a relationship of the relationship type for the entity that is referenced by the one or more terms of the text that is characterized as the question and the entity that is referenced by the text that is characterized as the answer to the question.

    Abstract translation: 用于获取资源的方法,系统和装置,识别被表征为问题的资源的文本的第一部分以及被描述为该问题的答案的资源的文本的第二部分, 由文本的一个或多个术语引用,其被表征为该问题,被描述为问题的文本的一个或多个其他术语引用的关系类型以及由文本引用的实体 其特征在于该问题的答案,并且调整由特征为问题的文本的一个或多个术语引用的实体的关系类型的关系的得分和由文本引用的文本 被认为是问题的答案。

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